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Exploring the effects of anthropogenic disturbance on predator inspection activity in Trinidadian guppies

Author(s): Brusseau AJP; Feyten LEA; Crane AL; Brown GE;

No abstract available

Article GUID: 38476138


Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration

Author(s): Hou D; Zhan D; Wang L; Hassan IG; Sezer N;

Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration method ...

Article GUID: 37936825


How uncertainty affects information search among consumers: a curvilinear perspective

Author(s): He S; Rucker DD;

Uncertainty is an inherent part of consumers' environment. A large literature in marketing and related disciplines has found a positive relationship between uncertainty and information search: as consumers' uncertainty about a brand, product, or ser ...

Article GUID: 36471868


UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

Author(s): Abdar M; Salari S; Qahremani S; Lam HK; Karray F; Hussain S; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S; ...

The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems that are capable of ...

Article GUID: 36217534


Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis

Author(s): Zhu Y; Chen Z;

Source identification plays a vital role in implementing control measures for sudden river pollution incidents. In contrast to single-point source identification problems, there have been no investigations into inverse identification of multi-point emission ...

Article GUID: 36191500


Viral Anxiety Mediates the Influence of Intolerance of Uncertainty on Adherence to Physical Distancing Among Healthcare Workers in COVID-19 Pandemic

Author(s): Chung S; Lee T; Hong Y; Ahmed O; Silva WAD; Gouin JP;

Introduction: The aims of this study were to examine the mediation effect of viral anxiety of healthcare workers on the influence of their intolerance of uncertainty on the adherence to physical distancing during the COVID-19 pandemic. Methods: An online s ...

Article GUID: 35733798


Decision-first modeling should guide decision making for emerging risks

Author(s): Morgan K; Collier ZA; Gilmore E; Schmitt K;

An emerging risk is characterized by scant published data, rapidly changing information, and an absence of existing models that can be directly used for prediction. Analysis may be further complicated by quickly evolving decision-maker priorities and the po ...

Article GUID: 35104915


Towards a better understanding of deep convolutional neural network processes for recognizing organic chemicals of environmental concern

Author(s): Sun X; Zhang X; Wang L; Li Y; Muir DCG; Zeng EY;

Deep convolutional neural network (DCNN) has proved to be a promising tool for identifying organic chemicals of environmental concern. However, the uncertainty associated with DCNN predictions remains to be quantified. The training process contains many ran ...

Article GUID: 34388923


Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study

Author(s): Cai M; An C; Guy C; Lu C; Mafakheri F;

As a volatile organic compound existing in the atmosphere, methanol plays a key role in atmospheric chemistry due to its comparatively high abundance and long lifetime. Croplands are a significant source of biogenic methanol, but there is a lack of systemat ...

Article GUID: 34182392


A robust optimization model for tactical capacity planning in an outpatient setting

Author(s): Aslani N; Kuzgunkaya O; Vidyarthi N; Terekhov D;

Tactical capacity planning is a key element of planning and control decisions in healthcare settings, focusing on the medium-term allocation of a clinic's resources to appointments of different types. One of the most scarce resources in healthcare is ph ...

Article GUID: 33215335


Qualitative threshold method validation and uncertainty evaluation: A theoretical framework and application to a 40 analytes liquid chromatography-tandem mass spectrometry method

Author(s): Camirand Lemyre F; Desharnais B; Laquerre J; Morel MA; Côté C; Mireault P; Skinner CD;

Qualitative methods hold an important place in drug testing, filling central needs in screening and analyses, among others, linked to per se legislation. Nevertheless, the bioanalytical method validation guidelines do not discuss this type of method or desc ...

Article GUID: 32476284


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